Package com.google.cloud.aiplatform.v1

Interface FeaturestoreMonitoringConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
FeaturestoreMonitoringConfig, FeaturestoreMonitoringConfig.Builder
@Generated public interface FeaturestoreMonitoringConfigOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • hasSnapshotAnalysis

      boolean hasSnapshotAnalysis()
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
      Returns:
      Whether the snapshotAnalysis field is set.

    • getSnapshotAnalysis

      FeaturestoreMonitoringConfig.SnapshotAnalysis getSnapshotAnalysis()
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;
      Returns:
      The snapshotAnalysis.

    • getSnapshotAnalysisOrBuilder

      FeaturestoreMonitoringConfig.SnapshotAnalysisOrBuilder getSnapshotAnalysisOrBuilder()
       The config for Snapshot Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.SnapshotAnalysis snapshot_analysis = 1;

    • hasImportFeaturesAnalysis

      boolean hasImportFeaturesAnalysis()
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
      Returns:
      Whether the importFeaturesAnalysis field is set.

    • getImportFeaturesAnalysis

      FeaturestoreMonitoringConfig.ImportFeaturesAnalysis getImportFeaturesAnalysis()
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;
      Returns:
      The importFeaturesAnalysis.

    • getImportFeaturesAnalysisOrBuilder

      FeaturestoreMonitoringConfig.ImportFeaturesAnalysisOrBuilder getImportFeaturesAnalysisOrBuilder()
       The config for ImportFeatures Analysis Based Feature Monitoring.
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis import_features_analysis = 2;

    • hasNumericalThresholdConfig

      boolean hasNumericalThresholdConfig()
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
      Returns:
      Whether the numericalThresholdConfig field is set.

    • getNumericalThresholdConfig

      FeaturestoreMonitoringConfig.ThresholdConfig getNumericalThresholdConfig()
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;
      Returns:
      The numericalThresholdConfig.

    • getNumericalThresholdConfigOrBuilder

      FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder getNumericalThresholdConfigOrBuilder()
       Threshold for numerical features of anomaly detection.
 This is shared by all objectives of Featurestore Monitoring for numerical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE
 or INT64).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig numerical_threshold_config = 3;

    • hasCategoricalThresholdConfig

      boolean hasCategoricalThresholdConfig()
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
      Returns:
      Whether the categoricalThresholdConfig field is set.

    • getCategoricalThresholdConfig

      FeaturestoreMonitoringConfig.ThresholdConfig getCategoricalThresholdConfig()
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;
      Returns:
      The categoricalThresholdConfig.

    • getCategoricalThresholdConfigOrBuilder

      FeaturestoreMonitoringConfig.ThresholdConfigOrBuilder getCategoricalThresholdConfigOrBuilder()
       Threshold for categorical features of anomaly detection.
 This is shared by all types of Featurestore Monitoring for categorical
 features (i.e. Features with type
 ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or
 STRING).
      .google.cloud.aiplatform.v1.FeaturestoreMonitoringConfig.ThresholdConfig categorical_threshold_config = 4;